4.3 Article

Multi-temporal image analysis for LULC classification and change detection

期刊

EUROPEAN JOURNAL OF REMOTE SENSING
卷 54, 期 -, 页码 189-199

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/22797254.2020.1771215

关键词

Remote sensing; image classification; accuracy assessment; quantum image; change detection; quantum computing

资金

  1. National Natural Science Foundation of China [51872023]

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This study focuses on using GIS and land usage to identify changes in LULC in Ananthapuramu, Andhra Pradesh, South India from 1999 to 2019. The results show an increase in built-up area and underwater bodies, and a decrease in forest bodies during the study period.
Land use/Land cover (LULC) plays a vital role in planning and supervising the utilization of the natural resources based on the gradual increase in the human demands in the current ecosystem. This study mainly focuses on the usage of the geographic information system (GIS) and land usage to identify the changes in Ananthapuramu, which is located in the Ananthapur district of Andhra Pradesh (AP) state, South India. This paper mainly focuses on the classification and identification of the changes in LULC in the period of 1999-2019 based on a survey of India's topographic map and temporal images gathered from the satellite. The experimental results indicate that over the specified period of study, the rate of increment and decrement in the built-up area, rate of underwater bodies, forest bodies that may demonstrate a significant impact on the environmental ecosystem.

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